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Indicates that a person has joined a chat channel. Indicates that
a channel topic has been changed. Messages posted to chat.
People posting to IndieWeb’s chat sometimes prepend or
append their usernames with contextual information.
’ or other suffixes to indicate which device one is
using or where they are posting from. As a result, the same person might be represented by multiple names in the chat archives.
Common suffixes were stripped, which merged multiple usernames belonging to the same individual into one unique identifier.
Similarly, the format of author personal website URLs was standardized to remove
protocol information (http:// or https://) and www prefixes.
Known bot accounts were removed from the logs prior to analysis.
1. Respond to queries by retrieving data from IndieWeb’s wiki.
“what is xyz” in any of IndieWeb’s chat channels, Loqi will look up
‘xyz’ on IndieWeb’s wiki and respond with the first sentence from that wiki article.
2. When IndieWeb’s wiki is edited, posts a message describing that edit to the indieweb-meta chat
channel.
Yahoo handles email unsubscribing a bit differently on mobile
and desktop. On the mobile app, open an email and navigate to the dotted
icon. Here, you can select to either unsubscribe from
junk mail, or mark it as spam. The desktop version, on the other hand, does not offer
unsubscribe as an option. At the top of an opened email, you can select the spam icon next to the delete button, or
click the dotted icon to find the option to block the sender from emailing you.
If you have multiple emails across providers like
Gmail and Outlook, it may be easier to use services that help you unsubscribe to emails than to
do each sender individually. Still, if you’re interested in trying apps like these (and then revoking their third-party
access later) we’ve written a tutorial on that,
too. While these options aren’t going to remove annoying emails from your life entirely, they’re good
steps to take to declutter your inbox. By consistently marking which
emails are spam and reading only the ones you care about, filters will start getting better at recognizing
which emails you care about and which you don’t. Again, like a home in real life, cleaning up isn’t always fun and easy, but if you put in a little elbow grease it may be worth
the peace of mind of a clutter-free inbox. Vox Media has
affiliate partnerships. These do not influence editorial content, though
Vox Media may earn commissions for products purchased via affiliate links.
For more information, see our ethics policy.
Time of Concentration is the time required for runoff from the most
distant point of the upstream drainage area to
reach the point of the drainage channel controlling flooding of
the area of interest. The time of concentration defines the critical duration of peak rainfall for
the area of interest. The critical duration of intense rainfall might
be only a few minutes for roof and parking lot drainage
structures, while cumulative rainfall over several
days would be critical for river basins. Water flowing downhill ultimately encounters downstream
conditions slowing movement. The final limitation in coastal flooding lands
is often the ocean or some coastal flooding bars which form natural lakes.
In flooding low lands, elevation changes such as tidal fluctuations are significant determinants of coastal and estuarine flooding.
Less predictable events like tsunamis and storm surges may also cause
elevation changes in large bodies of water. Flow channel
restrictions like bridges and canyons tend to control water elevation above the restriction.
Now, take a look at the formula for calculating the overall probability the
email being spam. Probability values always lie between 0 and 1, and computers don’t handle multiplying such small values well.
Enough with the theory! We’ll now write the spam filter.
Here, we’ve used the fs module, which helps us to read from
files and write to them. The rest of the code discussed in this section would go into the classifier object.
This object will be responsible for learning from
the training examples and for classifying new emails.
Now, we need to define a data structure to hold information about previously seen emails.
Initially, we have seen exactly zero spam and ham emails, and we don’t
know anything about the words in an email. We would also need to load the training data from the disk and
save it when we’re done. In order to do
this, we define two functions, load() and save().
These functions save this data as JSON into training.json.
Here is my web page: "https://Www.Sigmachiiu.com/forums/users/rosalineburks49/ |
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